AWS Platform Architect

AI Solution Architect

The Opportunity:

Serve as part of a platform engineering team responsible for enabling AI/ML workloads through the design and operation of cloud-native infrastructure. Build and maintain secure, scalable Kubernetes-based platform environments deployed in AWS, and develop Infrastructure-as-Code and automation frameworks to support scalable and repeatable infrastructure deployments. Implement CI/CD pipelines and Git-based workflows to support automated platform and application delivery, including Kubernetes deployment workflows and GitOps best-practices. Collaborate closely with data scientists, ML engineers, and application teams to support model training, experimentation, and deployment environments running on Kubernetes. Apply DevOps and platform engineering principles to improve reliability, automation, and operational efficiency. Identify and address gaps in infrastructure performance, bottlenecks, or scalability challenges, ensuring continual improvement of platform ecosystems. Implement monitoring, logging, and observability capabilities to support production systems and distributed workloads. Develop solutions to complex technical problems while providing general mentorship and guidance to junior team members as needed. Work independently with some guidance and review or guide activities of more junior employees.

You Have:

• 5+ years of experience supporting cloud-native platforms, infrastructure engineering, or DevOps environments
• 3+ years of experience operating and troubleshooting production Kubernetes clusters, including networking, storage, and workload management
• Experience operating distributed systems or cloud-native platforms supporting large-scale applications or data workloads
• Experience building and maintaining reusable Infrastructure-as-Code modules to provision and manage cloud infrastructure
• Experience developing automation and scripting solutions using languages such as Python or Bash
• Experience implementing CI/CD pipelines and Git-based workflows, including GitHub, Gitlab, Jenkins, or Helm
• Experience implementing monitoring, logging, and observability solutions using tools such as CloudWatch, Grafana, or Elasticsearch
• Secret clearance
• Bachelor's degree

Nice If You Have:

• Experience supporting AI/ML platforms or ML infrastructure
• Experience supporting data pipelines or workflow orchestration platforms
• Experience supporting secure cloud environments or regulated systems
• Experience supporting DoD or government cloud environments
• Information Security Certification such as Security+ or CISSP Certification

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.